A detection method for cyber-attack on connected signal phase and timing information

Abstract

This paper proposes a method to detect cyber-attacks by cross-checking Signal Phase and Timing (SPaT) information and connected vehicle trajectories data. The proposed method is only applicable to cyber-attacks that involve information tempering. The proposed V2I cyber-attacks detection algorithm includes the following features: i) effective in detecting the authenticity of broad-casted SPaT information; ii) feasible to identify the occurrence of cyber-attacks when the defensive function fails; iii) functional in the environment of partially connected and automated traffic; iv) leveraging transportation knowledge for cybersecurity assurance. Furthermore, a sensitivity analysis on the connected vehicle penetration rate is conducted. The best performance is observed when the penetration rate is 100%. Under this penetration rate, the experimental result demonstrates that the accuracy rate of the proposed method reached 94%.

KEYWORDS:

• SPaT
• CV technology
• cybersecurity
• signal timing
• cyber-attack

Acknowledgement

This paper is partially supported by National Key R&D Program of China (No. 2018YFB1600600), National Natural Science Foundation of China (grant number 61803284), Shanghai Oriental Scholar (2018), Shanghai Yangfan Program (No. 18YF1424200), and Tongji Zhongte Chair Professor Foundation (No. 000000375-2018082).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [grant number 61803284]; Tongji Zhongte Chair Professor Foundataion: [grant number 000000375-2018082]; National Key R&D Program of China: [grant number 2018YFB1600600]; Shanghai Yangfan Program: [grant number 18YF1424200].